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Understanding AI Technology

Understanding AI Technology A concise, practical, and readable overview of Artificial Intelligence and Machine Learning Technology designed for non-technical managers, officers, and executives April 2020. By: Greg Allen, Chief of Strategy and Communications Joint Artificial Intelligence Center (JAIC). Department of Defense Foreword by JAIC Director Lt Gen Jack Shanahan Acknowledgments The author would like to thank the following individuals for their assistance reviewing earlier drafts of this document: Dr. Jeff Alstott (IARPA). Dr. Nate Bastian (Major, Army, DoD Joint AI Center). Dr. Steven L. Brunton (University of Washington). Dr. Matthew Daniels (Georgetown University). Dr. Ed Felten (Princeton University). Mr. Rob Jasper (Pacific Northwest National Laboratory). Dr. John Launchbury (Galois, and formerly DARPA). Disclaimer The views expressed in this document are those of the author alone and do not necessarily reflect the position of the Department of Defense or the United States Government.

There are four different families of Machine Learning algorithms, which differ based on aspects of the data they train on. It is important to understand the different families because knowing which family an AI system will use has implications for effectively enabling and managing the system’s development.

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